Statistical Analysis and Optimisation of Data for the Design and Evaluation of the Shear Spinning Process

被引:4
|
作者
Puchlerska, Sandra [1 ]
Zaba, Krzysztof [1 ]
Pyzik, Jaroslaw [2 ]
Pieja, Tomasz [3 ]
Trzepiecinski, Tomasz [4 ]
机构
[1] AGH Univ Sci & Technol, Fac Nonferrous Met, Dept Met Working & Phys Met Nonferrous Met, Al Mickiewicza 30, PL-30059 Krakow, Poland
[2] Sabre Polska Sp Zoo, Wadowicka 6D, PL-30415 Krakow, Poland
[3] Pratt&Whitney Rzeszow SA, Hetmanska 120, PL-35001 Rzeszow, Poland
[4] Rzeszow Univ Technol, Fac Mech Engn & Aeronaut, Dept Mfg & Prod Engn, Al Powstancow Warszawy 8, PL-35959 Rzeszow, Poland
关键词
superalloy; design of experiments; 3D scanning; statistical optimisation; MICROSTRUCTURE; STRESS; FORCE;
D O I
10.3390/ma14206099
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This work proposes a research method that is a scheme that can be universally applied in problems based on the selection of optimal parameters for metal forming processes. For this purpose, statistical data optimisation methods were used. The research was based on the analysis of the shear spinning tests performed in industrial conditions. The process of shear spinning was conducted on the components made of Inconel 625 nickel superalloy. It was necessary to select the appropriate experimental plan, which, by minimising the number of trials, allowed one to draw conclusions on the influence of process parameters on the final quality of the product and was the starting point for their optimisation. The orthogonal design 2III3-1 is the only design for three factors at two levels, providing non-trivial and statistically significant information on the main effects and interactions for the four samples. The samples were analysed for shape and dimensions using an Atos Core 200 3D scanner. Three-dimensional scanning data allowed the influence of the technological parameters of the process on quality indicators, and thus on the subsequent optimisation of the process, to be determined. The methods used proved to be effective in the design, evaluation and verification of the process.</p>
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Process optimisation of plasma spraying using statistical modelling
    Zhang, T
    Liu, B
    Bao, Y
    Gawne, DT
    Thermal Spray 2004: Advances in Technology and Application, Proceedings, 2004, : 736 - 741
  • [42] Taguchi experimental design for manufacturing process optimisation using historical data and a neural network process model
    Sukthomya, Wimalin
    Tannock, James
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2005, 22 (05) : 485 - 502
  • [43] Statistical design and the analysis of gene expression microarray data
    Kerr, MK
    Churchill, GA
    GENETICAL RESEARCH, 2001, 77 (02) : 123 - 128
  • [44] STATISTICAL PROBLEMS IN THE DESIGN AND ANALYSIS OF INVITRO METAPHASE DATA
    MITCHELL, ID
    MUTAGENESIS, 1987, 2 (04) : 309 - 310
  • [45] STATISTICAL DESIGN AND DATA-ANALYSIS QUESTIONED - REPLY
    DAYTON, AD
    JOURNAL OF FOOD SCIENCE, 1977, 42 (05) : R3 - R4
  • [46] STATISTICAL MODELING AND INVESTIGATION OF THE CHANGES OF THICKNESS AND PROCESS TIME IN THERMO-MECHANICAL TUBE SPINNING PROCESS USING DESIGN OF EXPERIMENTS
    Tashnizi, E. Sharifi
    Nahrkhalaji, A. R. Fazeli
    PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2008, : 305 - 311
  • [47] On the statistical analysis of data for the water usage network design
    Shakhnovsky, Arcady
    Kvitka, Aleksander
    Statyukha, Gennady
    Jezowski, Jacek
    Jezowska, Alina
    Chemical and Process Engineering - Inzynieria Chemiczna i Procesowa, 2007, 28 (03): : 493 - 503
  • [48] On the statistical analysis of data for the water usage network design
    Shakhnovsky, Arcady
    Kvitka, Aleksander
    Statyukha, Gennady
    Jezowski, Jacek
    Jezowska, Alina
    INZYNIERIA CHEMICZNA I PROCESOWA, 2007, 28 (03): : 493 - 503
  • [49] STATISTICAL EVALUATION OF GEOBOTANICAL AND BIOGEOCHEMICAL DATA BY DISCRIMINANT ANALYSIS
    NIELSEN, JS
    BROOKS, RR
    BOSWELL, CR
    MARSHALL, NJ
    JOURNAL OF APPLIED ECOLOGY, 1973, 10 (01) : 251 - 258
  • [50] Statistical evaluation of FRAM γ-ray isotopic analysis data
    Burr, TL
    Sampson, TE
    Vo, DT
    APPLIED RADIATION AND ISOTOPES, 2005, 62 (06) : 931 - 940